Tuning exciton emission via ferroelectric polarization at a heterogeneous interface between a monolayer transition metal dichalcogenide and a perovskite oxide membrane

Kavli Affiliate: Jie Shan | First 5 Authors: Jaehong Choi, Kevin J. Crust, Lizhong Li, Kihong Lee, Jialun Luo | Summary: We demonstrate the integration of a thin BaTiO$_3$ (BTO) membrane with monolayer MoSe$_2$ in a dual gate device that enables in-situ manipulation of the BTO ferroelectric polarization with a voltage pulse. While two-dimensional (2D) […]


Continue.. Tuning exciton emission via ferroelectric polarization at a heterogeneous interface between a monolayer transition metal dichalcogenide and a perovskite oxide membrane

Mechanotransductive feedback control of endothelial cell motility and vascular morphogenesis

Kavli Affiliate: Denis Wirtz | Authors: Devon E Mason, Megan Goeckel, Sebastian L Vega, Pei-Hsun Wu, Dymonn Johnson, Su-Jin Heo, Denis Wirtz, Jason A Burdick, Levi Wood, Brain Y Chow, Amber N Stratman and Joel D Boerckel | Summary: Vascular morphogenesis requires persistent endothelial cell motility that is responsive to diverse and dynamic mechanical stimuli. […]


Continue.. Mechanotransductive feedback control of endothelial cell motility and vascular morphogenesis

Improved Thermal Resummation for Multi-Field Potentials

Kavli Affiliate: Marcela Carena | First 5 Authors: Henning Bahl, Marcela Carena, Aurora Ireland, Carlos E. M. Wagner, | Summary: The resummation of large thermal corrections to the effective potential is mandatory for the accurate prediction of phase transitions. We discuss the accuracy of different prescriptions to perform this resummation at the one- and two-loop […]


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AgentCoord: Visually Exploring Coordination Strategy for LLM-based Multi-Agent Collaboration

Kavli Affiliate: Ke Wang | First 5 Authors: Bo Pan, Jiaying Lu, Ke Wang, Li Zheng, Zhen Wen | Summary: The potential of automatic task-solving through Large Language Model (LLM)-based multi-agent collaboration has recently garnered widespread attention from both the research community and industry. While utilizing natural language to coordinate multiple agents presents a promising […]


Continue.. AgentCoord: Visually Exploring Coordination Strategy for LLM-based Multi-Agent Collaboration